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Development of gluten-free cereal bar for gluten intolerant population by using quinoa as major ingredient.

ABSTRACT: The present study was carried out to develop gluten free cereal bars for gluten intolerant population. The cereal bar was formulated using dry raw materials (quinoa, brown rice, flaxseed and dry fruits) and binding agents (honey). Honey was added as a sweetener and binding agent. The raw materials were assessed for physico-chemical parameters such as moisture, ash, crude protein and fat content and the functional parameters such as antioxidant activity, total phenolic content and β-carotene. Dry heat treatment (80-100 °C for 8-12 min) was given to grains (quinoa, brown rice and flaxseed) prior to use in preparation of cereal bar. Significant variation was found after treatment of grains among all the physico-chemical and functional parameters of grains except ash content which showed a non-significant variation. Four formulations (F1, F2, F3 and F4) were developed using different combination of grains at different honey levels (40, 50 and 60%). On the basis of sensory evaluation, formulation- 4 at 50% honey level was found to be best. Selected cereal bar was assessed for physico-chemical and functional parameters. Selected cereal bar had 8.53% moisture content, 1.34% ash content, 10.50% protein content, 2.89% fat content, 0.51 mg GAE/g total phenolic content, 33.87% antioxidant activity and 0.384 µg/g β-carotene.

SUBMITTER: Kaur R

PROVIDER: S-EPMC6098801 | biostudies-other | 2018 Sep

REPOSITORIES: biostudies-other

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Development of gluten-free cereal bar for gluten intolerant population by using quinoa as major ingredient.

Kaur Ramandeep R Ahluwalia Preeti P Sachdev Poonam A PA Kaur Amarjeet A

Journal of food science and technology 20180618 9

The present study was carried out to develop gluten free cereal bars for gluten intolerant population. The cereal bar was formulated using dry raw materials (quinoa, brown rice, flaxseed and dry fruits) and binding agents (honey). Honey was added as a sweetener and binding agent. The raw materials were assessed for physico-chemical parameters such as moisture, ash, crude protein and fat content and the functional parameters such as antioxidant activity, total phenolic content and β-carotene. Dry ...[more]

PMID: 30150817

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Project description:The unique physiochemical properties of wheat gluten enable a diverse range of food products to be manufactured. However, gluten triggers coeliac disease, a condition which is treated using a gluten-free diet. Analytical methods are required to confirm if foods are gluten-free, but current immunoassay-based methods can unreliable and proteomic methods offer an alternative but require comprehensive and well annotated sequence databases which are lacking for gluten. A manually a curated database (GluPro V1.0) of gluten proteins, comprising 630 discrete unique full length protein sequences has been compiled. It is representative of the different types of gliadin and glutenin components found in gluten. An in silico comparison of their coeliac toxicity was undertaken by analysing the distribution of coeliac toxic motifs. This demonstrated that whilst the α-gliadin proteins contained more toxic motifs, these were distributed across all gluten protein sub-types. Comparison of annotations observed using a discovery proteomics dataset acquired using ion mobility MS/MS showed that more reliable identifications were obtained using the GluPro V1.0 database compared to the complete reviewed Viridiplantae database. This highlights the value of a curated sequence database specifically designed to support the proteomic workflows and the development of methods to detect and quantify gluten.SignificanceWe have constructed the first manually curated open-source wheat gluten protein sequence database (GluPro V1.0) in a FASTA format to support the application of proteomic methods for gluten protein detection and quantification. We have also analysed the manually verified sequences to give the first comprehensive overview of the distribution of sequences able to elicit a reaction in coeliac disease, the prevalent form of gluten intolerance. Provision of this database will improve the reliability of gluten protein identification by proteomic analysis, and aid the development of targeted mass spectrometry methods in line with Codex Alimentarius Commission requirements for foods designed to meet the needs of gluten intolerant individuals.

Dataset Information

Development of gluten-free cereal bar for gluten intolerant population by using quinoa as major ingredient.

Publications

Development of gluten-free cereal bar for gluten intolerant population by using quinoa as major ingredient.

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